my Google Scholar, my NIH Bibliography, my Johns Hopkins Faculty Page, my ORCiD, my Github, my CV.
I am an assistant scientist at the Johns Hopkins Center on Aging and Health where I work with Dr. Jennifer Schrack and the ENGAGE group on development of methods for analyzing data from wearable sensors in aging populations.
I recently completed my postdoctoral fellowship with the Epidemiology and Biostatistics of Aging Training Program, and I received my PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health , under the guidance of Ciprian Crainiceanu and the WIT research group.
As an undergraduate at St. Olaf College , I studied Math, Statistics, and Environmental Studies. I was a fellow in the Center for Interdisciplinary Research , I assisted with research at the Cannon River Watershed Partnership (now called Clean River Partners ), and I was a junior fellow at the Joint Program in Survey Methodology when I assisted with questionnaire design at the National Agrigultural Statistics Service.
During my Ph.D., I collaborated with clinicians in the Multicenter AIDS Cohort Study to better understand differences in physical activity and heart health between men living with and without HIV.
I work on posture classification with chest-worn accelerometers, often embedded in ECG patches, as a means to contextualize cardiac activity.
Check out some interactive plots I made here here.
I am currently working on an R package with a vignette which I will
link here in the coming months, but for now I will just leave you with
an interactive plotly graphic that shows the kind of data
stucture we use for classifying posture.
As an undergraduate at Saint Olaf College, I got to be a part of an innovative course designed by Paul Roback and Julie Legler.
For three years during graduate school, I worked with Elizabeth
Colantuoni and Scott Zeger as TA for the JHSPH combined series of
Longitudinal Data Analysis and Multilevel Models. As a part of my
dissertation research, I am working with Dr. Colantuoni on developing
new functions within frailtypack
for the joint modelling of multiple recurrent event and survival
outcomes. We think these kinds of models will be important for clinical
trials conducted within Intensive Care Units (ICUs).